Turing Labs Announces Latest Research – Edge Computing & AI Solutions

The Sun (UK) – Turing Labs, the UK’s leading not-for-profit research organisation, has unveiled its latest edge computing and AI solutions at an event that brought together government and industry bodies as well as mainstream media to share the results of its research and development.

Edge computing, which is an open platform that uses network, computing, storage and application core capabilities as an integral part of an open platform on the side close to the source of things or data, provides the nearest end service nearby. Its applications are initiated at the edge side, generating a faster response to network services and meeting the industry’s basic needs for real-time services, application intelligence, security and privacy protection. Intelligent, flexible, distributed and efficient, edge computing is a high technology that powerfully links industry and physical entities and can provide a front-loaded historical database for cloud computing. Therefore, edge computing can be widely used in the fields of Internet of Things, industrial manufacturing and transportation, and has high application value.

It is said that edge computing is a new technology derived from the further extension of cloud computing. In this technology sharing session, Henry Flaubert, Head of Turing Labs, also talked about the future of edge computing. Turing Labs’ vision is to better utilise and deliver computing resources to end users. Turing Labs’ vision is to leverage and deliver computing resources to end users in a better way. The path is to deliver high performance computing at scale by harnessing underutilised computing power and working to generate new technologies that will change the digital landscape.

The IoT sector has borne the brunt of technological dividends from breakthroughs in edge computing technology. The emergence of the former has effectively solved most of the cumbersome computational processing, meaning that much of the control will be achieved through local devices without having to be handed over to the cloud, reducing the load on the cloud by addressing needs at the edge and greatly improving industrial efficiency. Being closer to the user, it also provides a faster response to the user.

Henry Flaubert said, “We are very excited to launch this brand new technology. As a founding member of the Open Consortium for Native Technologies, we see Turing Labs’ edge computing technology as critical to exploring the development and evolution of the Internet, making a tangible difference to the evolving technology landscape in the field.”

In addition, the event also showcased Turing Labs’ achievements in the field of AI. The research focuses on human-computer interaction, information services, language recognition and image recognition, covering scenarios including robotics, security and other sub-mainstream areas. The lab’s AI topics focus more on saving manpower costs and improving efficiency. Through the year-round AI auditing service, not only can we ensure high accuracy rate, but also achieve real-time auditing to avoid backlogs, helping application parties to effectively reduce operation and maintenance costs and assist in improving efficiency.